- QT 5.9
- Eigen3
- P Covariance matrix
- H regressor matrix
- theta parameter vector
psi_k_1 = (P*H) * (lambda + H.transpose()*P*H).inverse();
P_k_1 = P - ((P * H * H.transpose() *P) /(den +0.99) );
theta_hat_k_1 = theta_hat + psi_k_1*(Y_k_1 - H.transpose()*theta_hat);